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Top Tech Jobs & Startup Jobs in Toronto
Artificial Intelligence • HR Tech • Professional Services
Lead the strategy and execution of an integrated demand-generation engine for a B2B SaaS company. Own SEO, paid acquisition, website conversion, lifecycle marketing, analytics, attribution, content, agency relationships, and budget allocation. Build scalable marketing programs that convert PLG users, generate enterprise pipeline, and connect open-source adoption to revenue. Partner with Product, Sales, Design, and executives on positioning, campaigns, KPIs, and growth planning while mentoring future team members.
Top Skills:
Ai-Powered Marketing ToolsAnalytics PlatformsAnswer Engine Optimization (Aeo)CmsCroExperimentation PlatformsMarketing AutomationPaid SocialPersonalization ToolsSemSeo
Artificial Intelligence • HR Tech • Professional Services
Own the technical aspects of enterprise airline deals from qualification through deployment and expansion. Design integration and cloud architectures, lead demos and proofs of concept, respond to RFPs and security questionnaires, review technical contracts, and ensure customer commitments align with engineering capabilities. Build reusable technical assets, support adoption, and communicate customer requirements to product and engineering teams.
Top Skills:
Ai/MlAmadeusAPIsAWSCloud ArchitectureData PipelinesDnsIso 27001NavitaireNetworkingSabreSoc 2Sso
Artificial Intelligence • HR Tech • Professional Services
Manage a portfolio of 20–25 technical SaaS customers across onboarding, adoption, renewals, and expansion. Build success plans, connect product usage to business outcomes, advise customers on QA and automated testing, engage technical and executive stakeholders, manage risks and escalations, and partner with Sales, Product, and Engineering. Own renewal and expansion forecasting while delivering net and gross dollar retention targets.
Top Skills:
Automated Software TestingQuality Assurance (Qa)SaaS
Artificial Intelligence • HR Tech • Professional Services
Advocate for open-source cloud networking and AI infrastructure projects through technical content, conferences, workshops, community engagement, and customer collaboration. The role advises prospects and users, develops best practices, gathers ecosystem feedback, and partners with product and engineering teams on roadmap decisions. It requires software engineering experience, deep knowledge of Kubernetes, service mesh, cloud networking, and agentic AI, plus an established technical presence across open-source communities and social platforms.
Top Skills:
A2AAdkAgentgatewayAgentregistryBlueskyEnvoyIstioKagentKgatewayKubernetesKubernetes Gateway ApiLinkedInMcpNetworkpolicyX
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